General statistics¶

Out[12]:
round_start_time round_end_time
round-1 2021-07-11 2021-07-30
round-2 2021-07-31 2021-08-30
round-3 2021-08-31 2021-09-29
round-4 2021-09-30 2021-10-28
round-5 2021-10-31 2021-11-27
round-6 2021-11-28 2021-12-26
round-7 2021-12-27 2022-01-30
round-8 2022-01-31 2022-02-27

Praise involvement¶

How many praise?¶

How many people give praise?¶

How many people receiving praise?¶

Quantifier involvement¶

System health evaluation¶

new TEC members¶

/home/dev/Documents/venv/rad-venv/lib/python3.9/site-packages/pandas/core/indexing.py:1732: SettingWithCopyWarning:


A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy

distribution equality¶

Nakamoto Coefficient¶

The Nakamato Coefficient is defined as the smallest number of accounts who control at least 50% of the resource. Although its significance relates to the prospect of a 51% attack on a network, which may not be relevant in our context, we can still use it as an intuitive measure of how many individuals received the majority of a resource.

Bigger coefficient means more equal (i.e. needs more people to pass 50%), smaller means more concentrated power. The number should always be an integer

quantification agreement¶

TODO: measure how well quantifiers agree with each other. metrics like ratio of agreement on duplication and dismissal. overall average spread. etc.